Abstract
In this letter, an event-triggered model predictive control (ET-MPC) method for power converters is presented. In the proposed method, the model predictive control (MPC) scheme is triggered only when the state of the converter exceeds a preset threshold; otherwise, the MPC scheme is suspended and the control signal is held as constant. Therefore, compared with the conventional MPC with finite control set (FCS-MPC), the ET-MPC method has the advantages of less computational burden and less switching actions, which contribute to lower switching losses, while ensuring satisfactory regulation performance. A buck converter prototype is adopted to validate the performance of ET-MPC. The results from the comparison with FCS-MPC demonstrate the effectiveness of the proposed ET-MPC method.
| Original language | English |
|---|---|
| Article number | 8948314 |
| Pages (from-to) | 715-720 |
| Number of pages | 6 |
| Journal | IEEE Transactions on Industrial Electronics |
| Volume | 68 |
| Issue number | 1 |
| DOIs | |
| State | Published - Jan 2021 |
Keywords
- Computational requirement
- event-triggered (ET) control
- model predictive control (MPC)
- switching loss
Fingerprint
Dive into the research topics of 'Event-Triggered Model Predictive Control for Power Converters'. Together they form a unique fingerprint.Cite this
- APA
- Author
- BIBTEX
- Harvard
- Standard
- RIS
- Vancouver